In iancero/tidymi:

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

# library(tidymi)

Missing data is ubiquitous and distoring to a statistical analysis. Not only can an analyst expect at least some values from a final dataset to be missing, but also that those data will be systematically missing. This reduces the statistical power of an analysis, and also frequently leads to biased results.

iancero/tidymi documentation built on Dec. 20, 2021, 5:57 p.m.